Senior Data Engineer

• Own and improve the reporting and semantic layer in DOMO.
  
• Integrate data from Snowflake, BigQuery, SQL Server, and other external sources into DOMO.
  
• Build and optimize DOMO data flows, datasets, and reporting pipelines.
  
• Administer and maintain Snowflake environments, including provisioning, RBAC, security controls, and access management.
  
• Design and operate scalable Snowflake ingestion and transformation pipelines using Streams and Dynamic Tables.
  
• Manage BigQuery integrations, access controls, and connectivity with DOMO.
  
• Design, troubleshoot, and optimize complex SQL Server queries and database workflows.
  
• Use advanced SQL techniques, including window functions, to support data transformation and analysis.
  
• Build and maintain orchestration pipelines using Airflow, Dagster, or similar tools.
  
• Develop and maintain dbt models, testing, documentation, and transformation workflows.
  
• Monitor data quality, pipeline performance, and reliability across the end -to -end data lifecycle.
  
• Partner with engineering, analytics, and business teams to define data requirements and deliver dependable solutions.
  

Requirements

• At least 7 years of experience in Data Engineering, Data Architecture, or a related role.
  
• Strong hands -on experience with Snowflake administration, architecture, security, and RBAC.
  
• Strong experience with DOMO, including data integrations, data flows, datasets, and reporting support.
  
• Strong experience with Google BigQuery and GCP access management.
  
• Advanced SQL and SQL Server experience, including complex query optimization and window functions.
  
• Experience designing and maintaining scalable ETL or ELT pipelines.
  
• Experience with dbt and at least one orchestration platform such as Airflow or Dagster.
  
• Experience managing data access, governance, and security controls.
  
• Ability to work independently and own data infrastructure from database administration through BI delivery.
  
• Strong problem -solving, communication, and stakeholder -management skills.
  

• Experience with additional cloud data platforms or BI tools.
  
• Experience implementing data observability, lineage, or automated data -quality checks.
  
• Experience working in Agile, distributed engineering teams.
  

Benefits